VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection

arXiv:2404.12680v1 Announce Type: new
Abstract: Facial biometrics are an essential components of smartphones to ensure reliable and trustworthy authentication. However, face biometric systems are vulnerable to Presentation Attacks (PAs), and the availability of more sophisticated presentation attack instruments such as 3D silicone face masks will allow attackers to deceive face recognition systems easily. In this work, we propose a novel Presentation Attack Detection (PAD) algorithm based on 3D point clouds captured using the frontal camera of a smartphone to detect …

abstract arxiv attacks authentication availability biometric biometrics components convolutional neural network cs.cr cs.cv detection face however masks network neural network presentation smartphones systems trustworthy type vulnerable will